79 chart histogram

Uncomment the following line to install geemap if needed.

In [1]:

# !pip install geemap

# !pip install geemap

Install the necessary libraries.

In [2]:

import ee
import geemap
import geemap.chart as chart

import ee import geemap import geemap.chart as chart

Initialize GEE.

In [3]:

geemap.ee_initialize()

geemap.ee_initialize()

Set the data and plot options.

In [4]:

source = ee.ImageCollection('OREGONSTATE/PRISM/Norm81m').toBands()
region = ee.Geometry.Rectangle(-123.41, 40.43, -116.38, 45.14)
my_sample = source.sample(region, 5000)
property = '07_ppt'

source = ee.ImageCollection('OREGONSTATE/PRISM/Norm81m').toBands() region = ee.Geometry.Rectangle(-123.41, 40.43, -116.38, 45.14) my_sample = source.sample(region, 5000) property = '07_ppt'

In [5]:

options = {
    "title": 'July Precipitation Distribution for NW USA',
    "xlabel": 'Precipitation (mm)',
    "ylabel": 'Pixel count',
    "colors": ['#1d6b99'],
}

options = { "title": 'July Precipitation Distribution for NW USA', "xlabel": 'Precipitation (mm)', "ylabel": 'Pixel count', "colors": ['#1d6b99'], }

Generate histogram with default number of bins:

In [6]:

chart.feature_histogram(my_sample, property, **options)

chart.feature_histogram(my_sample, property, **options)

Generate histogram and set a maximum number of bins:

In [7]:

chart.feature_histogram(my_sample, property, maxBuckets=30, **options)

chart.feature_histogram(my_sample, property, maxBuckets=30, **options)

Generate histogram and set a minimum bin size:

In [8]:

chart.feature_histogram(my_sample, property, minBucketWidth=0.5, **options)

chart.feature_histogram(my_sample, property, minBucketWidth=0.5, **options)

Generate histogram, set a maximum number of bins and a minimum bin size:

In [9]:

chart.feature_histogram(my_sample, property, minBucketWidth=3, maxBuckets=30, **options)

chart.feature_histogram(my_sample, property, minBucketWidth=3, maxBuckets=30, **options)

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Last update: 2022-03-14